Abstracts
Objective
Sleep disorders in Parkinson’s disease are very common. Polysomnography (PSG) is considered the gold standard for diagnosis. The aim of the present study is to assess the prevalence of nocturnal sleep disorders diagnosed by polysomnography and to determine the associated clinical factors.
Method
A total of 120 patients with Parkinson’s disease were included. All patients underwent a standardized overnight, single night polysomnography.
Results
Ninety-four (78.3%) patients had an abnormal PSG. Half of the patients fulfilled criteria for sleep apnea-hypopnea syndrome (SAHS); rapid eye movement behavior disorder (RBD) was present in 37.5%. Characteristics associated with SAHS were age (p = 0.049) and body mass index (p = 0.016). Regarding RBD, age (p < 0.001), left motor onset (p = 0.047) and levodopa equivalent dose (p = 0.002) were the main predictors.
Conclusion
SAHS and RBD were the most frequent sleep disorders. Higher levodopa equivalent dose and body mass index appear to be risk factors for RBD and SAHS, respectively.
Parkinson’s disease; sleep disorders; polysomnography
Objetivo
Os distúrbios do sono na doença de Parkinson são muito comuns. A polissonografia é considerada o padrão-ouro para o diagnóstico. O objetivo do presente estudo é avaliar a prevalência de distúrbios de sono noturno diagnosticados por polissonografia.
Método
120 pacientes com doença de Parkinson foram incluídos. Todos os pacientes foram submetidos a uma única noite, polissonografia de noite.
Resultados
94 (78,3%) pacientes tiveram uma polissonografia anormal e 50% preencheram a síndrome da apneia e hipopneia do sono (SAHOS); distúrbio de comportamento do movimento rápido dos olhos (RBD) esteve presente em 37,5%. As características associadas com SAHOS foram idade (p = 0,049) e índice de massa corporal (p = 0,016). Quanto RBD, idade (p < 0,001), deixou início motor (p = 0,047) e levodopa dose equivalente (p = 0,002) foram os preditores.
Conclusão
SAHOS e RBD foram os distúrbios do sono mais frequente. Dose superior equivalente de levodopa e índice de massa corporal parecem ser fatores de risco, respectivamente.
doença de Parkinson; distúrbios do sono; polissonografia
Parkinson’s disease (PD) is a neurological disorder characterized by motor
symptoms such as bradykinesia, resting tremor, rigidity, impaired postural reflexes, as
well as non-motor symptoms such as hyposmia, autonomic dysfunction, neuropsychiatric
symptoms, pain, and sleep disturbances11 Chaudhuri KR, Naidu Y. Early Parkinson’s disease and
non-motor issues. J Neurol. 2008;255(55 Suppl):33-8.
http://dx.doi.org/10.1007/s00415-008-5006-1
https://doi.org/10.1007/s00415-008-5006-...
.
Sleep disorders are among the most common non-motor symptoms, with a prevalence of 60% to
90%22 Suzuki K, Miyamoto M, Miyamoto T, Iwanami M, Hirata K. Sleep
disturbances associated with Parkinson’s disease. Parkinsons Dis.
2011;2011:219056. http://dx.doi.org/10.4061/2011/219056
https://doi.org/10.4061/2011/219056...
. Most frequent sleep disorders
described in patients with PD are insomnia, excessive daytime sleepiness, rapid eye
movement (REM) behavior disorder (RBD), sleep apnea-hypopnea syndrome (SAHS), restless
legs syndrome (RLS) and periodic limb movements (PLM)33 Yong MH, Fook-Chong S, Pavanni R, Lim LL, Tan EK. Case control
polysomnographic studies of sleep disorders in Parkinson’s disease. PLoS
One. 2011;6:e22511.
http://dx.doi.org/10.1371/journal.pone.0022511
https://doi.org/10.1371/journal.pone.002...
. The sleep disorders may be caused by the nocturnal motor
symptoms of PD itself, adverse effects of antiparkinsonian medications or comorbid
primary sleep disorders. Sleep disorders can be evaluated by anamnesis, clinical scales
and neurophysiological techniques. Frequently used scales for assessment of sleep
disorders include the Parkinson Disease Sleep Scale (PDSS)44 Chaudhuri KR, Pal S, DiMarco A, Whately-Smith C, Bridgman K, Mathew
R, et al. The Parkinson’s disease sleep scale: a new instrument for
assessing sleep and nocturnal disability in Parkinson’s disease. J Neurol
Neurosurg Psychiatry. 2002;73:629-35.
http://dx.doi.org/10.1136/jnnp.73.6.629
https://doi.org/10.1136/jnnp.73.6.629...
, Parkinson Disease Sleep Scale -2 (PDSS-2)55 Trenkwalder C, Kohnen R, Högl B, Metta V, Sixel-Döring F,
Frauscher B, et al. Parkinson’s disease sleep scale--validation of the
revised version PDSS-2. Mov Disord. 2001;26(4):644-52.
http://dx.doi.org/10.1002/mds.23476
https://doi.org/10.1002/mds.23476...
, Scales for Outcomes in PD-Sleep
(SCOPA-Sleep scale)66 Martinez-Martin P, Visser M, Rodriguez-Blazquez C, Marinus J,
Chaudhuri KR, Hilten JJ. SCOPA-sleep and PDSS: two scales for assessment of
sleep disorder in Parkinson’s disease. Mov Disord. 2008;23(12):1681-8.
http://dx.doi.org/10.1002/mds.22110
https://doi.org/10.1002/mds.22110...
, Epworth
Sleepiness Scale (ESS)77 Johns MW. A new method for measuring daytime sleepiness: the Epworth
sleepiness scale. Sleep. 1991;14(6):540-5. and the
Pittsburgh sleep quality index (PSQI)88 Buysse DJ, Reynolds CF, Monk TH, Berman SR, Kupfer DJ. The
Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and
research. Psychiatry Res. 1989;28(2):193-213.
http://dx.doi.org/10.1016/0165-1781(89)90047-4
https://doi.org/10.1016/0165-1781(89)900...
.
Clinical evaluation may be not enough to accurately diagnose sleep disorders.
Polysomnography (PSG) is considered the gold standard to diagnose and evaluate the
severity of nocturnal sleep disorders99 Högl B, Arnulf I, Comella C, Ferreira J, Iranzo A, Tilley B, et
al. Scales to assess sleep impairment in Parkinson’s disease: critique
and recommendations. Mov Disord. 2010;25(16):2704-16.
http://dx.doi.org/10.1002/mds.23190
https://doi.org/10.1002/mds.23190...
.
Nocturnal psychosis and nocturia are the only items of PDSS that have been reported to
correlate with some PSG parameters in patients with PD1010 Uemura Y, Nomura T, Inoue Y, Yamawaki M, Yasui K, Nakashima K.
Validation of the Parkinson’s disease sleep scale in Japanese patients: a
comparison study using the Pittsburgh Sleep Quality Index, the Epworth
Sleepiness Scale and Polysomnography. J Neurol Sci. 2009;287(1-2):36-40.
http://dx.doi.org/10.1016/j.jns.2009.09.015
https://doi.org/10.1016/j.jns.2009.09.01...
.
The main objective of the study is to describe the prevalence of the different sleep disorders in patients with PD evaluated by PSG.
METHOD
A cross-sectional study was carried out between June 2009 and May 2013. Patients with PD according to the United Kingdom Brain Bank criteria were consecutively recruited at the Movement Disorders Clinic at the National Institute of Neurology and Neurosurgery in Mexico City.
Sociodemographic variables were collected including age, gender, education level,
weight, height, drug intake, side and type of motor onset and disease severity based
upon the findings of the clinical examination by the Hoehn and Yahr scale (HY) and
the Unified Parkinson’s Disease Rating Scale part III (UPDRS III)1111 Fahn S, Elton RM. The Unified Parkinson’s Disease Rating
Scale. Recent Dev Park Dis. 1987:153-63.. Body mass index (BMI) was
calculated with the weight divided by the square of their height; overweight was
defined as BMI > 25 kg/m22 Suzuki K, Miyamoto M, Miyamoto T, Iwanami M, Hirata K. Sleep
disturbances associated with Parkinson’s disease. Parkinsons Dis.
2011;2011:219056. http://dx.doi.org/10.4061/2011/219056
https://doi.org/10.4061/2011/219056...
. All
patients were examined during the “on” period. Use of antiparkinsonian
medication was noted and levodopa equivalent daily dose (LEDD) was calculated1212 Tomlinson CL, Stowe R, Patel S, Rick C, Gray R, Clarke CE.
Systematic review of levodopa dose equivalency reporting in Parkinson’s
disease. Mov Disord. 2010;25(15):2649-53.
http://dx.doi.org/10.1002/mds.23429
https://doi.org/10.1002/mds.23429...
. History of current use of other
medications were recorded, including antipsychotics, anxiolytics, antidepressants
and sleep inducers.
All patients underwent a standardized overnight, single night PSG at the Sleep Clinic
using a Grass Technologies TWin (version 4.5.0.27) Polysomographer. Conventional
electroencephalography electrodes (F4-M1,C4-M1,O2-M1) where placed in most patients
with the exception when RBD was clinically suspected and the international 10-20
system for electrode placement was applied in order to rule out Epilepsy.
Electrocardiography, chin, upper and lower extremities electromyography (EMG),
electro-oculography pulse oximetry, abdominal and chest respiratory effort
acquisition were also registered according to the recommended specifications of the
American Academy of Sleep Medicine Manual for the Scoring of Sleep and Associated
Events. PSG was later scored and analyzed by a sleep medicine specialist. The
following parameters were obtained: total sleep time, sleep efficiency, percentage
of time spent in non-REM (N) and REM (R) sleep, wake after sleep onset (WASO), sleep
latency, R sleep latency, apnea/hypopnea index, minimum and maximum oxygen
saturation, minimum and maximum heart rate, cardiac dysrhythmias and periodic limb
movement index. History of dream enactment behaviors, PSG recorded dream enactment
behaviors and REM sleep without atonia according to the Monplasir method were also
noted1313 Lapierre O, Montplaisir J. Polysomnographic features of REM sleep
behavior disorder: development of a scoring method. Neurology.
1992;42(7):1371-4. http://dx.doi.org/10.1212/WNL.42.7.1371
https://doi.org/10.1212/WNL.42.7.1371...
. SAHS severity was
defined as mild for an Apnea-Hypopnea Index (AHI) ≥ 5 and < 15, moderate
for AHI ≥ 15 and ≤ 30, and severe for AHI > 30/hr1414 Epstein LJ, Kristo D, Strollo PJ Jr, Friedman N, Malhotra A, Patil
SP, et al. Clinical guidelines for the evaluation, management and long-termr
care of obstructive sleep apnea in adults. J Clin Sleep Med.
2009;5(3):263-76.. PLM was classified as mild,
moderate or severe according to the International Classification of Sleep
Disorders1515 American Academy of Sleep Medicine. International classification of
sleep disorders: diagnostic and coding manual. 2nd ed. Westchester: American
Academy of Sleep Medicine; 2005.. Additionally, the
diagnosis of a sleep disorder was made according to the International Classification
of Sleep Disorders 2nd edition when applicable.
Patients with a non-assessable polysomnography were excluded
The Spanish version of the SCOPA-Sleep scale was applied to all patients before performing the PSG; the sleep specialist was blinded to the scale score to avoid bias.
The study was approved by the institutional review board and ethics committee. All patients signed a written informed consent.
Statistical analysis
Measures of central tendency and dispersion for descriptive analysis were obtained. Comparison between quantitative variables was performed using a Student’s t-test. Qualitative variable were compared using Chi-square test or Fisher’s test as needed. Logistic regression models were performed using the presence of the sleep disorders as the dependent variables. Independent variables included in the model were gender, age, disease duration, UPDRS III score, BMI, side of motor onset and LEDD. Statistical significance was set at p < 0.05. SPSS version 17 (SPSS Inc.) was used for all analyses.
RESULTS
One hundred twenty five PD patients were initially included; five of them were excluded due to insufficient sleep time, male gender was more frequent (55.8%). Mean age of the sample was 59.8 ± 13 years. Mean BMI was 27.6 ± 4.5 kg/m2, a total of 92 (76.6%) patients had overweight. Mean disease duration was 6.5 ± 6.2 years. A total of 89 (70%) patients had a right sided motor PD onset; motor phenotype was tremor-dominant in 76 (63.3%) patients. The mean UPDRS III score was 28.5 ± 17.
Regarding PD treatment, 92 (73.6%) were on levodopa (mean daily dose 414.6 ± 340.5 mg), 88 (71.6%) were taking a dopamine agonist, 19 (15.8%) were on rasagiline and 12 (10%) were also receiving entacapone. Two patients were not taking any antiparkinsonian medication at the time of the study. The mean levodopa equivalent daily dose was 562.6 ± 376.9 mg. Motor fluctuations were present in 28 (23.3%) patients and dyskinesia was reported in 18 (15%).
The SCOPA-Sleep scale mean score was 10.8 ± 6.6. According to this scale, a total of 49 (40.8%) patients had diurnal sleep problems, while 47 (39.2%) patients had sleep problems at nighttime. The most frequent sleep disorder by clinical diagnosis was insomnia in 103 (82.4%).
Overnight videopolysomnography studies
A total of one hundred twenty PSG were included in the final analysis. Only 26 (21.7%) patients had a normal PSG and 94 (78.3%) an abnormal PSG. Sixty-one (50.8%) of the patients fulfilled criteria for SAHS; mild in 31 (50.8%), moderate in 13 (21.3%) and severe in 17 (27.9%). PLM was diagnosed in 39 patients (32.5%); 23 (58.9%) were classified as mild, 6 (15.4%) as moderate and 10 (25.7%) were severe. RBD was present in 48 (37.5%) diagnosed either by history of dream enactment behavior plus R without atonia or capturing an episode on video-EEG. Additionally R sleep without atonia was noted in seven subjects (5.8%).
Forty nine percent of the patients with a sleep disorder had a dual pathology. The most frequent association was SAHS and RBD in 15.8% of the cases. The prevalence and comorbidity of each sleep disorder are shown in Table 1.
Sleep efficiency was poor in 33 subjects (27.5%). Other relevant polysomnographic sleep abnormalities were prolonged sleep and R sleep latency as well as diminished slow wave sleep. Total R sleep time was normal. Table 2 shows the mean values for each of the PSG parameters analyzed in the present study.
Clinical correlates of sleep disorders
Comparisons of the main demographic and clinical characteristics between PD patients with and without a PSG sleep disorder is shown in Table 3. Sleep disorders were more prevalent in males (p = 0.004). Regarding sociodemographic and clinical characteristics among men and women with an abnormal PSG, women showed a trend to be treated more frequently with a dopaminergic agonist (p = 0.05).
Sleep apnea-hypopnea syndrome was more prevalent in males (65% vs 35%, p = 0.03) as well as in overweight patients (p = 0.01). RBD was also more frequent in males (65.3% vs 34.6%, p = 0.048).
In the logistic regression analysis the characteristics associated with SAHS were age (B = 1.033, p = 0.049) and BMI (B = 1.120, p = 0.016). Regarding RBD, current age (B = 1.071, p < 0.001), motor onset on the left side (B = 0.400, p = 0.047) and LEDD (B = 0.016, p = 0.002) were the main predictors. No associated factors were identified for PLM.
No statistically significant association were found between the PSG diagnosis and the SCOPA-Sleep diurnal (p = 0.546), SCOPA-Sleep nocturnal (p = 0.101) or SCOPA-Sleep total (p = 0.407).
DISCUSSION
Sleep disorders are common in PD and they have an impact on the patient’s
quality of life. Sleep disorders can present as a premotor symptom, as part of the
progression of the disease or as a side-effect of the medication used in symptomatic
therapy. Moreover, coexisting anxiety and depression can worsen sleep. Motor
symptoms like tremor, nocturnal rigidity and hypokinesia can decrease during sleep
but do not disappear completely, altering the quality of sleep. Tremor can persist
during N sleep causing arousals; rigidity persists mainly in patients with motor
fluctuations, and bradykinesia difficult the mobility1616 Grandas F, Iranzo A. Nocturnal problems occurring in
Parkinson’s disease. Neurology. 2004;63(8 Suppl 3):S8-11.
http://dx.doi.org/10.1212/WNL.63.8_suppl_3.S8
https://doi.org/10.1212/WNL.63.8_suppl_3...
.
The overall prevalence of any sleep disturbances by PSG in our study was 78%, which
is similar to the 80% reported in international studies22 Suzuki K, Miyamoto M, Miyamoto T, Iwanami M, Hirata K. Sleep
disturbances associated with Parkinson’s disease. Parkinsons Dis.
2011;2011:219056. http://dx.doi.org/10.4061/2011/219056
https://doi.org/10.4061/2011/219056...
,1717 Norlinah MI, Afidah KN, Noradina AT, Shamsul AS, Hamidon BB,
Sahathevan R, et al. Sleep disturbances in Malaysian patients with
Parkinson’s disease using polysomnography and PDSS. Parkinsonism Relat
Disord. 2009;15(9):670-4.
http://dx.doi.org/10.1016/j.parkreldis.2009.02.012
https://doi.org/10.1016/j.parkreldis.200...
. The most frequent sleep complaint was insomnia, which
presented in 82% of our population. The prevalence of the other sleep disorders in
our cohort was also comparable to international reports. RBD was identified in 37.5%
of our population and was more common in male patients. This is consistent with
previous reports, the frequency of RBD in patients with PD assessed by
questionnaires or interviews ranges from 15% to 45% but when a PSG is performed the
prevalence ranges from 46% to 58%1818 Wetter TC, Trenkwalder C, Gershanik O, Högl B. Polysomnographic
measures in Parkinson’s disease: a comparison between patients with and
without REM sleep disturbances. Wien Klin Wochenschr.
2001;113(7-8):249-253,1919 Gagnon JF, Bédard MA, Fantini ML, Petit D, Panisset M,
Rompré S, et al. REM sleep behavior disorder and REM sleep without atonia
in Parkinson’s disease. Neurology. 2002;59(4):585-9.
http://dx.doi.org/10.1212/WNL.59.4.585
https://doi.org/10.1212/WNL.59.4.585...
,2020 Iranzo A, Santamaría J, Rye DB, Valldeoriola F, Martí MJ,
Muñoz E, et al. Characteristics of idiopathic REM sleep behavior disorder
and that associated with MSA and PD. Neurology. 2005;65(2):247-52.
http://dx.doi.org/10.1212/01.wnl.0000168864.97813.e0
https://doi.org/10.1212/01.wnl.000016886...
. The factors associated with the presence of RBD in our
sample were the LEDD and left side of motor onset of disease. A study comparing
patients with or without RBD reported that RBD was associated with older age, longer
disease duration, and higher dose of levodopa2121 Sixel-Döring F, Trautmann E, Mollenhauer B, Trenkwalder C.
Associated factors for REM sleep behavior disorder in Parkinson disease.
Neurology. 2011;7(11)7:1048-54.
http://dx.doi.org/10.1212/WNL.0b013e31822e560e
https://doi.org/10.1212/WNL.0b013e31822e...
. Regarding the laterality of motor onset, a recent
study reported a trend toward an increased frequency of RBD in PD patients who had a
left-sided onset of symptoms2222 Baumann CR, Held U, Valko PO, Wienecke M, Waldvogel D. Body side and
predominant motor features at the onset of Parkinson's disease are linked
to motor and nonmotor progression. Mov Disord. 2014;29(2):207-13.
http://dx.doi.org/10.1002/mds.25650
https://doi.org/10.1002/mds.25650...
,
while another study showed an increased frequency of nocturnal hallucinations and
daytime dozing in PD patients with a left sided motor onset2323 Stavitsky K, McNamara P, Durso P, Harris E, Auerbach S,
Cronin-Golomb A. Hallucinations, dreaming, and frequent dozing in
Parkinson’s disease: impact of right hemisphere neural networks. Cogn
Behav Neurol. 2008;21(3):143-9.
http://dx.doi.org/10.1097/WNN.0b013e318185e698
https://doi.org/10.1097/WNN.0b013e318185...
. This findings suggests a pathophysiological role
of the right side brain in the development of RBD in PD patients.
It should be noticed that gender was a significant variable in the bivariate analysis but not after the multivariate regression was performed, thus suggesting the presence of a covariate or effect modifier factor.
SAHS was diagnosed in half of the patients. Reports on the frequency of this disorder
ranges from 27% to 60%33 Yong MH, Fook-Chong S, Pavanni R, Lim LL, Tan EK. Case control
polysomnographic studies of sleep disorders in Parkinson’s disease. PLoS
One. 2011;6:e22511.
http://dx.doi.org/10.1371/journal.pone.0022511
https://doi.org/10.1371/journal.pone.002...
,2424 Cochen De Cock V, Abouda M, Leu S, Oudiette D, Roze E, Vidailhet M,
et al. Is obstructive sleep apnea a problem in Parkinson’s disease? Sleep
Med. 2010;11(3):247-52.
http://dx.doi.org/10.1016/j.sleep.2009.05.008
https://doi.org/10.1016/j.sleep.2009.05....
,2525 Maria B, Sophia S, Michalis M, Charalampos L, Andreas P, John ME, et
al. Sleep breathing disorders in patients with idiopathic Parkinson’s
disease. Respir Med. 2003;97(10):1151-7.
http://dx.doi.org/10.1016/S0954-6111(03)00188-4
https://doi.org/10.1016/S0954-6111(03)00...
. Predictors of SAHS in our sample were an older age and
higher BMI. The role of BMI as a risk factor for SAHS in PD has been well
described2626 Chotinaiwattarakul W, Daylau P, Chevin RD, Albin RL. Risk of
sleep-disordered breathing in Parkinson’s disease. Sleep Breath.
2011;15(3):471-8. http://dx.doi.org/10.1007/s11325-010-0362-3
https://doi.org/10.1007/s11325-010-0362-...
. Finally, PLM
occurred in 32.5% patients which is also similar to other reports1616 Grandas F, Iranzo A. Nocturnal problems occurring in
Parkinson’s disease. Neurology. 2004;63(8 Suppl 3):S8-11.
http://dx.doi.org/10.1212/WNL.63.8_suppl_3.S8
https://doi.org/10.1212/WNL.63.8_suppl_3...
. Risk factors reported in other
studies include older age and severity of the disease2727 Covassin N, Neikrug AB, Liu L, Corey-Bloom J, Loredo JS, Palmer BW,
et al. Clinical correlates of periodic limb movements in sleep in
Parkinson’s disease. J. Neurol Sci. 2012;316(1-2):131-6.
http://dx.doi.org/10.1016/j.jns.2012.01.004
https://doi.org/10.1016/j.jns.2012.01.00...
,2828 Chaudhuri KR, Healy DG, Schapira AH. Non-motor symptoms of
Parkinson’s disease: diagnosis and management. Lancet Neurol.
2006;5(3):235-45.
http://dx.doi.org/10.1016/S1474-4422(06)70373-8
https://doi.org/10.1016/S1474-4422(06)70...
; nevertheless none of these factors were associated
with the frequency of PLM in our sample.
Polysomnographic sleep parameters disturbances associated with PD are poor sleep
efficiency, a decrease in the quantity of N3 sleep, and R sleep2929 Iranzo A, Valldeoriola F, Santamaría J, Tolosa E, Rumià J.
Sleep symptoms and polysomnographic architecture in advanced Parkinson’s
disease after chronic bilateral subthalamic stimulation. J Neurol Neurosurg
Psychiatry. 2002;72(5):661-4.
http://dx.doi.org/10.1136/jnnp.72.5.661
https://doi.org/10.1136/jnnp.72.5.661...
. In our patients, total N3 sleep was low but was
not considered a clinical significant finding due to the fact that N3 diminishes
with age.
SCOPA-Sleep scale did not show an association with PSG diagnoses or parameters in our
study. Only PDSS have been reported to correlate with sleep efficiency as measured
by PSG1010 Uemura Y, Nomura T, Inoue Y, Yamawaki M, Yasui K, Nakashima K.
Validation of the Parkinson’s disease sleep scale in Japanese patients: a
comparison study using the Pittsburgh Sleep Quality Index, the Epworth
Sleepiness Scale and Polysomnography. J Neurol Sci. 2009;287(1-2):36-40.
http://dx.doi.org/10.1016/j.jns.2009.09.015
https://doi.org/10.1016/j.jns.2009.09.01...
; this finding should
warrant the clinician to not rely only in clinical scales to diagnose a sleep
disorder in PD patients. PSG should still be considered the gold standard for this
purposes.
Our study has limitations. We did not include healthy controls, which makes it difficult to explain if the some sleep disorders result from the patient’s age rather than disease or antiparkinsonian therapy. We cannot determine if the variety of the of the sleep disorders is higher in this particular population. A sleep latency test to assess excessive daytime sleepiness was not performed.
In conclusion, the most prevalent sleep disorders in patients with PD in our sample was insomnia, followed by SAHS, RBD and PLM. Similarities with other PSG international studies strongly suggest that PSG is reliable and important to correctly diagnose sleep disorders. Higher LEDD and higher BMI appear to be risk factors for RBD and SAHS, respectively. A left sided on motor onset of the disease also appear to be a risk factor for RBD and warrants further study.
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-
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» https://doi.org/10.1007/s00415-008-5006-1 -
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» https://doi.org/10.4061/2011/219056 -
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» https://doi.org/10.1371/journal.pone.0022511 -
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» https://doi.org/10.1002/mds.23476 -
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» https://doi.org/10.1002/mds.22110 -
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» https://doi.org/10.1016/0165-1781(89)90047-4 -
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Support: The study was funded by the National Council of Science and Technology (CONACyT) grant #87675.
Publication Dates
-
Publication in this collection
Mar 2015
History
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Received
02 June 2014 -
Reviewed
01 Nov 2014 -
Accepted
21 Nov 2014